Neural network classification method of anomalies in mobile service provider traffic

Telenik S.F., Malyukov P.N., Pischaeva N.N.

Popular neural networks for classification of fraud in the traffic of the operators are considered. Algorithms for definition of the best variant are analyzed. By means of the developed programs researches for comparison of speed and quality of classification are carried out.


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